Pappu K. Yadav

发表

Assessment of different image enhancement and classification techniques in detection of volunteer cotton using UAV remote sensing

J. Alex Thomasson, Juan Enciso, Pappu K. Yadav, 2019, Defense + Commercial Sensing.

Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages

Daniel E. Martin, Pappu K. Yadav, S. Popescu, 2022, 2208.00519.

Cotton crop disease detection on remotely collected aerial images with deep learning

Pappu K. Yadav, J. Thomasson, R. Hardin, 2022, Defense + Commercial Sensing.

Volunteer cotton plant detection in corn field with deep learning

Daniel E. Martin, Pappu K. Yadav, S. Popescu, 2022, Defense + Commercial Sensing.

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning

Daniel E. Martin, Pappu K. Yadav, S. Popescu, 2022, 2212.07527.

Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data

Pappu K. Yadav, J. Qin, M. Kim, 2022, Frontiers in Plant Science.

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing

Pappu K. Yadav, J. Thomasson, Chenghai Yang, 2022, Comput. Electron. Agric..

Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV

Yang Xiang, Xiongzhe Han, Pappu K. Yadav, 2019, Sensors.

Classifying E.coli concentration levels on multispectral fluorescence images with discrete wavelet transform, deep learning and support vector machine

Pappu K. Yadav, J. Qin, M. Kim, 2023, Defense + Commercial Sensing.

Classification of E. coli Colony with Generative Adversarial Networks, Discrete Wavelet Transforms and VGG19

Pappu K. Yadav, J. Qin, Quentin Frederick, 2023, Journal of Radiology and Clinical Imaging.

Selecting Hyperspectral Bands and Extracting Features with a Custom Shallow Convolutional Neural Network to Classify Citrus Peel Defects

Pappu K. Yadav, Quentin Frederick, M. Ritenour, 2023, Smart Agricultural Technology.

Classifying adaxial and abaxial sides of diseased citrus leaves with selected hyperspectral bands and YOLOv8

Pappu K. Yadav, Quentin Frederick, Thomas Burks, 2024, Defense + Commercial Sensing.

Detection of E. coli concentration levels using CSI-D+ handheld with UV-C fluorescence imaging and deep learning on leaf surfaces

Pappu K. Yadav, F. Vasefi, M. Ritenour, 2024, Defense + Commercial Sensing.